sail: Sparse Additive Interaction Learning

Sparse additive interaction learning with the strong heredity property, i.e., an interaction is selected only if its corresponding main effects are also included. Fits a linear model with non-linear interactions via penalized maximum likelihood. Interactions are limited to a single exposure or environment variable. For more information, see the website below and the accompanying paper: Bhatnagar et al., "A sparse additive model for high-dimensional interactions with an exposure variable", 2019, <doi:10.1101/445304>.

Version: 0.1.0
Depends: R (≥ 3.4.0)
Imports: glmnet, gglasso, methods
Suggests: grpreg, truncnorm, foreach, doParallel, testthat, covr, vdiffr, knitr, rmarkdown
Published: 2019-12-13
Author: Sahir Bhatnagar [aut, cre] (, Yi Yang [aut] (, Celia Greenwood [aut] (
Maintainer: Sahir Bhatnagar <sahir.bhatnagar at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: sail results


Reference manual: sail.pdf
Vignettes: Introduction to the sail package
Supplying a User Defined Design Matrix


Package source: sail_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sail_0.1.0.tgz, r-oldrel (arm64): sail_0.1.0.tgz, r-release (x86_64): sail_0.1.0.tgz, r-oldrel (x86_64): sail_0.1.0.tgz


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